The average monthly rent for anapartment in San Francisco is $3630. Arandom sample of 30 apartments justoutside of San Francisco had a mean rentof $3450. The population standarddeviation is $850. At a = 0. 05, canyou conclude that the monthly rentoutside of San Francisco is lower than thatin the city?Please show all work below, includingyour null and alternative hypotheses,critical value, test value, and yourconclusion.

It is given that Sample size n = 30 Sample mean M = 3450 Population SD = 850 Level of significance =…

Answered: The average monthly rent for an…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The mean salary of federal government employees on the General Schedule is $59,593. The average salary of 34 state employees who do similar work is $59,070 with =σ $1500. At the 0.10 level of significance, can it be concluded that state employees earn on average less than federal employees? State the hypotheses and identify the claim with the correct hypothesis.
If indeed the true mean exposure time is 8h/day but for the randomly selected CSU students that are surveyed, we could observe a value of the test statistic that falls into the critical region (within the upper tail), we would then reject the null hypothesis H0 in favor of the alternate when, in fact, H0 is really true. This type of wrong conclusion is called a A. type II error B. type I error C. no error D. statistically insignificant
Before a company decides to purchase a large quantity of a solvent, it would like to see substantive evidence that the mean value of an impurity-forming substance is less than 1.0 ppb. What is the hypothesis to be tested here? What are the type I and type II statistical errors that can be made in this regard?
A random sample of 154 recent donations at a certain blood bank reveals that 84 were type A blood. Does this suggest that the actual percentage of type A donations differs from 40%, the percentage of the population having type A blood? Carry out a test of the appropriate hypotheses using a significance level of 0.01.State the appropriate null and alternative hypotheses. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value =
A random sample of 154 recent donations at a certain blood bank reveals that 89 were type A blood. Does this suggest that the actual percentage of type A donations differs from 40%, the percentage of the population having type A blood? Carry out a test of the appropriate hypotheses using a significance level of 0.01. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)
Twelve second-year medical students at a local hospital measured the systolic blood pressure of the same person, they obtained the results listed below (in mmHg). Hypertension is defined to be a blood pressure level that is too high because it is 140 mmHg or greater. Assuming that the distribution is approximately normal, use a significance level of 0.05 to test the claim that the mean blood pressure level for this patient is less than 140 mmHg. What is the p-value for this hypothesis test? 138 132 140 148 125 130 130 144 143 141 137 150 Twelve second-year medical students at a local hospital measured the systolic blood pressure of the same person, they obtained the results listed below (in mmHg). Hypertension is defined to be a blood pressure level that is too high because it is 140 mmHg or greater. Assuming that the distribution is approximately normal, use a significance level of 0.05 to test the claim that the mean blood pressure level for this patient is less than 140…
We want to test the hypothesis that there is a significant difference between the mean BMI of regular soda drinkers in 2015 and 2018. The mean BMI for regular soda drinkers in 2015 was 26.5. In 2018, the researcher gathered a sample of 62 regular soda drinkers, measuring their BMIs and found the average BMI was 29 with a SD of 5.5. Conduct a hypothesis test at 0.05 alpha level. Determine our test statistic, pvalue and conclusion.
In a study of the accuracy of fast food drive-through orders, one restaurant had 40 orders that were not accurate among 310 orders observed. Use a0.10significance level to test the claim that the rate of inaccurate orders is equal to 10%. Does the accuracy rate appear to be acceptable? Identify the null and alternative hypotheses for this test. test statistic pvalue conclusion
what is the test to conduct to answer researc questiion? additionally, calculate values by hand, is the statistically significant?
Based off of the provided data, need help stating the null and alternative hypotheses, reporting results of statistical test significance (.05 2-tailed) What type of error?
A large software company gives job applicants a test of programming ability and the mean for that test has been 160 in the past. Twenty-five job applicants are randomly selected from one large university and they produce a mean score and standard deviation of 183 and 12, respectively. Use a 0.05 level of significance to test the claim that this sample comes from a population with a mean score greater than 160. Use the P -value method of testing hypotheses.
The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 28 tires surveyed, the mean lifespan was 46500 miles. Using alpha = 0.05, can we prove that the data in inconsistent with the manufacturers claim? We should use a test. What are the correct hypotheses? H0: Ha: Based on the hypotheses, find the following:Test Statistic=p-value= The correct decision is to . The correct conclusion would be:

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